Vehicle Routing Problem with Multi-Trips and Soft-Time windows: A Case Study of The Sugarcane and Sugar Industry in Thailand
Keywords:
The Fuel replenishment, Multi-trips, Soft-time windowsAbstract
This research focuses on the fuel replenishment of fuel truck, a case study of Thailand's sugarcane and sugar industry. Presently, Route planning necessitates consideration of several factors and uncertainties are unable to manage resources efficiently. This research aims to sequence the delivery procedures to minimize the total cost, including fuel cost, driver cost, and opportunity cost. In addition, the opportunity cost is influenced by the arrival time of each sugarcane cutting machine. This study developed a Mixed Integer Linear Programming (MILP) model and compared it with the current practice. Computational results show that the performance of the MILP model can be more efficient than the current practice, and the MILP model can provide on average a 5.71% improvement in the total cost.
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